Semrush Has Shipped a Lot of AI Features. Here's What's Actually Useful.
Semrush has added AI features across its platform over the past 18 months. Keyword research, content generation, site auditing, competitive analysis, and backlink analysis all have some form of AI layer now. Not all of them are equally useful — and some are genuinely impressive for specific workflows.
This guide covers the Semrush AI features that are worth incorporating into your SEO workflow in 2026, how to use each one effectively, and where the gaps are that still require another tool to fill.
Semrush AI Features Worth Using
AI-Powered Keyword Clustering (Keyword Manager)
Semrush's keyword clustering feature groups related keywords by semantic similarity and SERP overlap — showing you which terms should be targeted on the same page and which need separate pages. This used to require manual analysis or third-party tools like Keyword Insights. Now it's built in.
How to use it: Export your keyword list to Keyword Manager. Run the cluster analysis. Use the clusters to plan your content architecture — one page per cluster, not one page per keyword. This single workflow improvement prevents keyword cannibalisation and accelerates topical authority building.
Quality verdict: Genuinely useful. One of the best AI features Semrush has shipped.
ContentShake AI
Semrush's AI writing tool, integrated with its keyword data. You enter a topic or keyword, ContentShake generates a brief with SEO recommendations and a draft article that incorporates the target keyword and semantic terms automatically.
How to use it: Use ContentShake for initial draft generation on standard informational content. The SEO data integration is its advantage over standalone AI writers — it starts from keyword data, not a blank page. Edit heavily before publishing — the drafts are structurally sound but lack the analytical depth and original voice that performs best in competitive SERPs.
Quality verdict: Useful for scaffolding informational content. Not competitive with Claude for quality-sensitive pieces.
AI Writing Assistant (in SEO Writing Assistant)
Semrush's SEO Writing Assistant grades content in real time as you write — or as you paste in AI-generated drafts — scoring keyword usage, readability, originality, and tone of voice. The AI rephrasing suggestions help improve sentences flagged as awkward or redundant.
How to use it: Write or generate content elsewhere (Claude for quality, ContentShake for speed). Paste into SEO Writing Assistant for optimisation feedback. The grade improves your content's technical SEO alignment without compromising the quality of the original draft.
Quality verdict: Strong as an optimisation layer on content written elsewhere.
Automated Competitor Analysis Reports
Semrush's AI can now generate automated competitive intelligence reports — comparing your domain against up to 5 competitors on traffic, keywords, backlinks, and content performance. The reports surface insights automatically rather than requiring manual data interpretation.
How to use it: Run a competitive overview report monthly. Export the key findings. Paste into Claude for strategic synthesis: "Based on this competitive data, what are the 3 highest-ROI SEO opportunities for my domain right now?"
Quality verdict: Saves 2–3 hours of manual competitive analysis per month. Recommended for all Semrush users.
Site Audit AI Recommendations
Semrush's Site Audit tool now prioritises technical issues by impact and suggests fixes. The AI triages the crawl results and tells you which issues to fix first based on their likely effect on rankings — rather than giving you a list of 200 issues of ambiguous priority.
How to use it: Run monthly site audits. Use the AI priority scoring to create your technical SEO task list. Share with your developer with specific fix instructions attached.
Quality verdict: Saves significant time in technical SEO triage. High value for sites with complex content architectures.
Semrush AI Features That Are Underwhelming
AI-Generated Meta Descriptions
Semrush can now suggest meta descriptions for your pages based on content analysis. The output is technically adequate but not optimised for CTR — it describes the page content rather than constructing a value proposition that earns the click. Claude with a specific meta description prompt consistently outperforms Semrush's suggestions on click-through rate potential.
Verdict: Use Claude for meta descriptions. Use Semrush to identify which pages are missing them.
The Semrush + Claude Workflow
The most productive SEO workflow in 2026 combines Semrush's data capabilities with Claude's strategic and content quality:
- Semrush for keyword research, clustering, competitive gap analysis, and technical auditing
- Claude with an SEO skill file for content briefs, content drafting, meta description writing, and strategic interpretation of Semrush data
- Semrush SEO Writing Assistant for final content optimisation before publishing
The SEO Specialist Skill File at KissMySkills is built for exactly this workflow. It turns Claude into an SEO strategist that reads Semrush data and produces immediately actionable content plans.
Frequently Asked Questions
What Semrush AI features are actually worth using?
The four Semrush AI features worth incorporating into your SEO workflow are keyword clustering in Keyword Manager (groups related keywords by semantic similarity to prevent cannibalisation), automated competitor analysis reports (saves 2–3 hours of manual analysis monthly), Site Audit AI priority scoring (triages technical issues by ranking impact), and the SEO Writing Assistant (grades content in real time for keyword usage, readability, and originality). ContentShake AI is useful for scaffolding informational content but requires heavy editing.
Is Semrush ContentShake AI good for writing blog posts?
ContentShake AI is useful for generating structurally sound informational content quickly — its advantage is starting from keyword data rather than a blank page. However, the drafts lack the analytical depth and original voice that performs best in competitive SERPs and require significant editing before publication. For quality-sensitive pieces, Claude produces better first drafts. Use ContentShake for content volume, Claude for content quality.
How do I use Semrush for competitor analysis?
Run Semrush's automated competitive overview report monthly — it compares your domain against up to five competitors on traffic, keywords, backlinks, and content performance. Export the key findings and paste into Claude with the prompt: "Based on this competitive data, what are the three highest-ROI SEO opportunities for my domain right now?" This workflow saves 2–3 hours of manual analysis and produces actionable strategic recommendations.
What is Semrush keyword clustering?
Semrush keyword clustering groups related keywords by semantic similarity and SERP overlap, showing which terms should be targeted on the same page and which need separate pages. Export your keyword list to Keyword Manager, run the cluster analysis, and use the clusters to plan your content architecture — one page per cluster. This prevents keyword cannibalisation and accelerates topical authority building. It is one of the most useful AI features Semrush has shipped.
What is the best SEO workflow combining Semrush and Claude?
The most productive combination is Semrush for keyword research, clustering, competitive gap analysis, and technical auditing; Claude with an SEO skill file for content briefs, article drafting, meta description writing, and strategic interpretation of Semrush data; then Semrush SEO Writing Assistant for final content optimisation before publishing. Each tool does what it does best — Semrush provides the data, Claude provides the strategic and content quality.
Turn Semrush data into rankings. Semrush supplies the data; a configured AI skill turns it into briefs, drafts, and strategy — in Claude, ChatGPT, or any AI chat.
· Claude as an SEO writer
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